Alternatives and similar repositories for recursiveMemNet

Users that are interested in recursiveMemNet are comparing it to the libraries listed below

• ForoughA / neuralMath
  Combining Symbolic and Function Evaluation Expressions In Neural Programs
  ☆34Updated 6 years ago
• aylai / EntailmentProbabilityEmbedding
  Models and code from Learning to Predict Denotational Probabilities For Modeling Entailment
  ☆14Updated 8 years ago
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 5 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 3 years ago
• andrewliao11 / awesome-neural-programming
  A curated list of awesome neural programming resources
  ☆55Updated 7 years ago
• Jungyhuk / plotcoder
  ☆21Updated 4 years ago
• mtensor / rulesynthesis
  Code for "Learning Compositional Rules via Neural Program Synthesis"
  ☆60Updated 5 years ago
• dmurfet / 2simplicialtransformer
  Code for the 2-simplicial Transformer paper
  ☆21Updated 6 years ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆16Updated 4 years ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆54Updated 4 years ago
• liqing-ustc / NGS
  Neural-Grammar-Symbolic Learning with Back-Search
  ☆55Updated last year
• facebookresearch / productive_concept_learning
  Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…
  ☆17Updated 4 years ago
• ischlag / TP-Transformer
  ☆49Updated 4 years ago
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆27Updated 2 years ago
• castorini / transformers-arithmetic
  ☆38Updated 4 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• rfeinman / GNS-Modeling
  Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
  ☆29Updated 4 years ago
• 95616ARG / SyReNN
  SyReNN: Symbolic Representations for Neural Networks
  ☆41Updated 2 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• salesforce / esprit
  Dataset and documentation for paper on explaining solutions to physical reasoning tasks (ESPRIT))
  ☆21Updated 9 months ago
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆43Updated 3 years ago
• princeton-vl / FormulaNet
  Code for FormulaNet in NIPS 2017
  ☆30Updated 7 years ago
• Strong-AI-Lab / A-Neural-Symbolic-Paradigm
  From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm
  ☆11Updated 3 years ago
• cair / convolutional-tsetlin-machine-tutorial
  Tutorial on the Convolutional Tsetlin Machine
  ☆54Updated 5 years ago
• UCLA-StarAI / LogisticCircuit
  Logistic Circuits
  ☆36Updated 6 years ago
• tommccoy1 / tpdn
  Tensor product decomposition network
  ☆20Updated 4 years ago
• wellecks / naturalproofs
  NaturalProofs: Mathematical Theorem Proving in Natural Language (NeurIPS 2021 Datasets & Benchmarks)
  ☆134Updated 3 years ago
• matthewmackay / reversible-rnn
  Code for reversible recurrent neural networks
  ☆40Updated 7 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago